GEOG246
GEOSPATIAL ANALYSIS WITH R
Other titles (2)
- LAB:GEOSPATIAL ANALYSIS WITH R
- TECHNOLOGY ASSESSMENT
- Department
- Geography
- Terms offered
- 14
- Data refreshed
- Jun 30, 2026
Description
Free and open source R is increasingly used for geospatial analyses. R and its ecosystem of supporting software also facilitate the creation, presentation, and reproducibility of analyses. R is therefore very close to being a one-stop shop for the modern GIScientist. This course will provide students with the skills they need to use R as a GIS. There will be additional emphases on programming, presentation, and reproducibility, which will entail learning to develop R libraries, development of presentations and reports using Rmarkdown, and using version control with github. Students will learn and apply R skills by working on a specific research problem. Students should have prior programming experience. Open to upper level undergraduate and graduate students. Satisfies the Skills requirement or can count as a specialization course in GIS in the undergraduate geography and global environmental studies major/minor.
Syllabi
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Offerings and forecast 2016–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 47% chance, medium confidence. Offered in 5 of 9 fall terms since 2018. Department course count rising about 5% per year. | 2030 Spring: 34% chance, medium confidence. Offered in 6 of 9 spring terms since 2018. Department course count falling about 2% per year. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 51% chance, medium confidence. Offered in 6 of 10 fall terms since 2017. Department course count rising about 4% per year. | 2029 Spring: 40% chance, medium confidence. Offered in 6 of 10 spring terms since 2017. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 53% chance, medium confidence. Offered in 6 of 10 fall terms since 2017. Department course count rising about 3% per year. | 2028 Spring: 40% chance, medium confidence. Offered in 6 of 11 spring terms since 2016. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 55% chance, medium confidence. Offered in 6 of 10 fall terms since 2017. Department course count rising about 3% per year. | 2027 Spring: 37% chance, medium confidence. Offered in 6 of 12 spring terms since 2015. Department course count falling about 2% per year. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | 1 section | Not offered | Not offered | No data |
| 2025 | 1 section | Not offered | Not offered | Not offered |
| 2024 | Not offered | 1 section | Not offered | Not offered |
| 2023 | Not offered | 1 section | Not offered | Not offered |
| 2022 | 1 section | 1 section | Not offered | Not offered |
| 2021 | 1 section | 1 section | Not offered | Not offered |
| 2020 | 1 section | 1 section | Not offered | Not offered |
| 2019 | Not offered | 1 section | Not offered | No data |
| 2018 | Not offered | Not offered | Not offered | No data |
| 2017 | 1 section | Not offered | Not offered | Not offered |
| 2016 | Not offered | Not offered | Not offered | No data |
Meeting times
Recent first- Mon, Wed, 12:00 PM–1:15 PM JC217 20262024
- Mon, Wed, 4:15 PM–5:30 PM Biological Sciences B124 2025
- Thu, 2:40 PM–5:40 PM JC215 19971996
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Lyndon D. Estes | Lecture | 1 | 3 of 30 enrolled | 23878 |
| Fall 2025 | Lyndon D. Estes | Lecture | 1 | 7 of 30 enrolled | 23878 |
| Spring 2024 | Lyndon D. Estes | Lecture | 1 | 10 of 10 enrolled | 30792 |
| Spring 2023 | Michael Cecil | Lecture | 1 | 5 of 10 enrolled | 30792 |
| Fall 2022 | Lyndon D. Estes | Lecture | 1 | 4 of 10 enrolled | 20972 |
| Spring 2022 | Lyndon D. Estes | Lecture | 1 | 9 of 10 enrolled | 30792 |
| Fall 2021 | Lyndon D. Estes | Lecture | 1 | 3 of 10 enrolled | 27905 |
| Spring 2021 | Lei Song | Lecture | 1 | 4 of 10 enrolled | 37080 |
| Fall 2020 | Lyndon D. Estes | Lecture | 1 | 7 of 10 enrolled | 27905 |
| Spring 2020 | Lyndon D. Estes | Lecture | 1 | 2 of 10 enrolled | 37080 |
| Spring 2019 | Lyndon D. Estes | Lecture | 1 | 3 of 20 enrolled | 37080 |
| Fall 2017 | Lyndon D. Estes | Lecture | 1 | 3 of 20 enrolled | 26019 |
| Spring 1997 | Samuel J. Ratick | Seminar/Proseminar | 1 | 5 of 30 enrolled | 30455 |
| Spring 1996 | Samuel J. Ratick | Seminar/Proseminar | 1 | 3 of 30 enrolled | 30455 |